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This post is a postdoctoral research assistant role within Prof Robert House’s Group in the Department of Materials. The post will be for up to 3 years in association with a new Faraday Institution
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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, physics and astronomy, applied mathematics, statistics, computer science, etc.). The Research Associate will need to be proactive, working both independently and as part of ECI/SoGE climate community and
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"Mathematical Data Science" research group at the University of Vienna (led by Prof. Dr. Philipp Grohs) and the "Computational Partial Differential Equations" research group at TU Wien (led by Prof. Dr. Michael
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at the interface of Quantum Information and Computation with the study of Complex Quantum Many-Body Systems. For this, we apply a combination of methods from both Mathematics and Physics, complemented by concepts
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capable of driving the project forward. The ideal candidate: The ideal candidate will possess (or soon complete) a PhD in Theoretical Physics, Bio-Mathematics or Computational Biology. They will possess a
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and Immigration website . Full-Time, Fixed-Term (18 months) Applications are invited for the post of Postdoctoral Research Associate in the Department of Mathematics for 18 months, starting 1st October
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, transitioning it from a promising research tool to a commercially attractive platform. Prof. Knowles' research group uses experimental and computational biophysics and physical chemistry to study human health and
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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Essential PhD (or near completion) in Computer Science, Physics, Mathematics, or related field